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Debiao Meng,Hong-Zhong Huang,Zhonglai Wang,Ning-Cong Xiao,Xiao-Ling Zhang 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.10
Reliability-based multidisciplinary design optimization (RBMDO) has received increasing attention in engineering design for achievinghigh reliability and safety in complex and coupling systems (e.g., multidisciplinary systems). Mean-value first-order saddlepoint approximation(MVFOSA) is introduced in this paper and is combined with the collaborative optimization (CO) method for reliabilityanalysis under aleatory uncertainty in RBMDO. Similar to the mean-value first-order second moment (MVFOSM) method, MVFOSAapproximated the performance function with the first-order Taylor expansion at the mean values of random variables. MVFOSA usessaddlepoint approximation rather than the first two moments of the random variables to estimate the probability density and cumulativedistribution functions. MVFOSA-based CO (MVFOSA-CO) is also formulated and proposed. Two examples are provided to show theaccuracy and efficiency of the MVFOSA-CO method.